 |
| Titel |
Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days |
| VerfasserIn |
K. H. Lee, Y. J. Kim |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1867-1381
|
| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 3, no. 6 ; Nr. 3, no. 6 (2010-12-20), S.1771-1784 |
| Datensatznummer |
250001374
|
| Publikation (Nr.) |
 copernicus.org/amt-3-1771-2010.pdf |
|
|
|
|
|
| Zusammenfassung |
| In East Asia, satellite observation is important because aerosols from
natural and anthropogenic sources have been recognized as a major source of
regional and global air pollution. However, retrieving aerosols properties
from satellite observations over land can be difficult because of the
surface reflection, complex aerosol composition, and aerosol absorption. In
this study, a new aerosol retrieval method called as the Moderate Resolution
Imaging Spectroradiometer (MODIS) satellite aerosol retrieval (MSTAR) was
developed and applied to three different aerosol event cases over East Asia.
MSTAR uses a separation technique that can distinguish aerosol reflectance
from top-of-atmosphere (TOA) reflectance. The aerosol optical thickness
(AOT) was determined by comparing this aerosol reflectance with
pre-calculated values. Three case studies show how the methodology
identifies discrepancies between measured and calculated values to retrieve
more accurate AOT. The comparison between MODIS and the Aerosol Robotic
Network (AERONET) showed improvement using the suggested methodology with
the cluster-based look-up-tables (LUTs) (linear slope = 0.94, R = 0.92) than
using operational MODIS collection 5 aerosol products (linear slope = 0.78,
R = 0.87). In conclusion, the suggested methodology is shown to work well
with aerosol models acquired by statistical clustering of the observation
data in East Asia. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|